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Previous Job Job Title Machine Learning Researcher Next Job Apply for Job Job ID 371407 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary Temporary Job
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–United Electrical, Radio and Machine Workers of America, Local 1105) Qualifications Required Qualifications Bachelor’s degree. Limited to students registered in a graduate degree program at the University
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willing to live in Minnesota Preferred Qualifications • Coordinated human research studies Physical & Environmental Requirements • Long periods at a computer terminal About the Department The Hormel
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine
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the application of machine learning techniques (e.g., doc2vec, encoder models, multi-modal embeddings, large language models) to map concepts and their relationships, tracing how they change, merge, or diverge
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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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health, or related fields. Physical & Environmental Requirements • Able to speak to participants for up to 90 minutes. • Has access to a computer and high-speed Internet. • Has access to a private
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nuclear physics detectors. Experience analyzing data from high energy or nuclear physics experiments. Familiarity with Monte Carlo simulations. Familiarity with machine learning techniques. About the